Journal of Clinical Medicine (Jan 2024)

Navigating Now and Next: Recent Advances and Future Horizons in Robotic Radical Prostatectomy

  • Abrar H. Mian,
  • Matthew K. Tollefson,
  • Paras Shah,
  • Vidit Sharma,
  • Ahmed Mian,
  • R. Houston Thompson,
  • Stephen A. Boorjian,
  • Igor Frank,
  • Abhinav Khanna

DOI
https://doi.org/10.3390/jcm13020359
Journal volume & issue
Vol. 13, no. 2
p. 359

Abstract

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Robotic-assisted radical prostatectomy (RARP) has become the leading approach for radical prostatectomy driven by innovations aimed at improving functional and oncological outcomes. The initial advancement in this field was transperitoneal multiport robotics, which has since undergone numerous technical modifications. These enhancements include the development of extraperitoneal, transperineal, and transvesical approaches to radical prostatectomy, greatly facilitated by the advent of the Single Port (SP) robot. This review offers a comprehensive analysis of these evolving techniques and their impact on RARP. Additionally, we explore the transformative role of artificial intelligence (AI) in digitizing robotic prostatectomy. AI advancements, particularly in automated surgical video analysis using computer vision technology, are unprecedented in their scope. These developments hold the potential to revolutionize surgeon feedback and assessment and transform surgical documentation, and they could lay the groundwork for real-time AI decision support during surgical procedures in the future. Furthermore, we discuss future robotic platforms and their potential to further enhance the field of RARP. Overall, the field of minimally invasive radical prostatectomy for prostate cancer has been an incubator of innovation over the last two decades. This review focuses on some recent developments in robotic prostatectomy, provides an overview of the next frontier in AI innovation during prostate cancer surgery, and highlights novel robotic platforms that may play an increasing role in prostate cancer surgery in the future.

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